Million Veteran Program
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
-
- Blood Pressure and Hypertension Studies
- Renin-Angiotensin System Studies
- Cardiovascular Health and Disease Prevention
Papers in
- Genetics 2
- Genetic Associations and Epidemiology 2
-
- Pharmacogenetics and Drug Metabolism 1
- Co-authors
- Saiju Pyarajan (1 shared paper)Kyriacos Markianos (1 shared paper)Rachel Badovinac Ramoni (1 shared paper)Yunling Shi (1 shared paper)Sumitra Muralidhar (1 shared paper)Jean C. Beckham (1 shared paper)David A. Sbarra (1 shared paper)Ronald M. Przygodzki (1 shared paper)
- Journals
- Journal of Clinical Investigation (1 paper)Journal of Psychiatric Research (1 paper)Molecular Psychiatry (1 paper)PLoS ONE (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Million Veteran Program
4 papers receiving 331 citations
Million Veteran Program's Hit Papers
Peers
Comparison fields: 5 of 52
- Genetics 202
- Cardiology and Cardiovascular Medicine 115
- Health Informatics 2
- Obstetrics and Gynecology 7
- Psychiatry and Mental health 13
Countries citing papers authored by Million Veteran Program
This map shows the geographic impact of Million Veteran Program's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Million Veteran Program with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Million Veteran Program more than expected).
Fields of papers citing papers by Million Veteran Program
This network shows the impact of papers produced by Million Veteran Program. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Million Veteran Program. The network helps show where Million Veteran Program may publish in the future.
Co-authors
The 19 scholars most cited alongside Million Veteran Program, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Trans-ethnic association study of blood pressure determinants in over 750,000 individuals Hit paper breakdown → | 2018 | 332 |
| 2 | 2023 | 5 | |
| 3 | 2026 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 |
About Million Veteran Program
Million Veteran Program is a scholar working on Genetics, Pharmacology, Clinical Psychology, Epidemiology and Nuclear Energy and Engineering, having authored 5 papers that have together received 340 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Suicide and Self-Harm Studies (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (202 citations), Cardiology and Cardiovascular Medicine (115 citations), Health Informatics (2 citations), Obstetrics and Gynecology (7 citations) and Psychiatry and Mental health (13 citations). Million Veteran Program has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Saiju Pyarajan, Kyriacos Markianos, Rachel Badovinac Ramoni, Yunling Shi, Sumitra Muralidhar, Jean C. Beckham, David A. Sbarra, Ronald M. Przygodzki, Jennifer Moser and Kyle J. Bourassa. Their work appears in journals such as Journal of Clinical Investigation, Journal of Psychiatric Research, Molecular Psychiatry, PLoS ONE and Nature Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.